Statutes and Ordinances for the governance of Henry the Fifth's army 31—44 XVI. Wise and faithful counsel from his vassals, strong and true support from his. And Henry from seeking any other means of ending the dispute than by the sword. Four davs after intelligence of the battle reached the metropolis; and the joy.

A real-time picture of the battlefield is an essential tool for U.S. Combat forces, one that can provide a critical advantage over adversaries. If used effectively, information can be as important a weapon as any in the U.S.

The Army compiles this picture by sifting through petabytes of data, such as high-definition video from unmanned aerial vehicles (UAVs) as well as from cameras on the ground or attached to soldiers. But putting the picture together and learning what it means can take hours, a time span that could mean the difference between life and death. The Army plans to speed up the process by equipping combat troops with small systems that can quickly analyze extensive video footage and other intelligence to warn soldiers of impending threats. The tactical edge cloud nodes, combined with advanced analytical tools being developed, will automatically collect, process and analyze the video within seconds, providing commanders with better situational awareness and improving their ability to make informed decisions quickly. The new technology tools will be part of an existing intelligence system, the Distributed Common Ground System–Army (DCGS–A), which the Army is updating and moving to a private cloud. “We realize that a brigade commander is going to deal with tons of data, especially with the next-generation sensors that will be at the forward edge of a battlefield.

They are not able to have all that bandwidth sent back over the network, process it and send it back again,” says Col. Charles Wells, project manager of DCGS-A. “You really need cloud computing at the tactical edge to deal with this massive amount of sensor data in the battlefield. It allows you to quickly store, analyze and process it and provide powerful answers to the commander.” Like other federal agencies, the Defense Department is embracing cloud computing to take advantage of the benefits it can deliver: cost savings, increased flexibility and scalability, mobility and improved security.

But the military isn’t focusing only on enterprise systems; it’s also concentrating on the battlefield. The Army is at the forefront of using the, having first deployed a cloud computing node at Bagram Airfield, Afghanistan, in 2011 to provide an Army headquarters location with real-time intelligence via DCGS-A. Now, the service is working on its next-generation version of DCGS-A, which will largely be built using cloud-based software and installing cloud nodes in regions across the world. DCGS-A can query, sort and analyze tens of millions of textual intelligence reports in a matter of seconds.

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Army The Army is working closely with the intelligence community and other Defense Department partners, including the Navy, in developing cloud-based systems for battlefield intelligence, says Russell Richardson, senior science adviser of the Army Intelligence and Security Command. In fact, the Navy is piloting its own Navy Tactical Cloud, which would support tactical edge systems. “There will be some very good tactical and operational capabilities provided by the cloud, but it’s at the early stages,” says Navy CIO Terry Halvorsen, in reference to the Office of Naval Research’s activities to develop a Navy Tactical Cloud. “Obviously, it’s a scenario where we want to be very careful. We will take smaller steps and be a little more careful with our tactical combat data than, say, some of our business data.” The Army's Approach to Eliminating Stovepipes DCGS is a Defense initiative designed to integrate the Army, Air Force, Navy and Marine Corps’ intelligence, surveillance and reconnaissance systems, so the military can rapidly share critical intelligence, Wells says.

Because the federal agencies have unique requirements, they have built their own DCGS systems, but they are using a common framework, database and standards to make sure they interoperate, he says. The Army’s intelligence system, DCGS-A, was launched in 2005 and integrates nine previously stovepiped intelligence systems. Today, it houses 640 different sources of data, from space-based, airborne and terrestrial sensors to human intelligence. The system features 131 million pieces of data and includes every intelligence report since 2004. “Before DCGS, you had to go to a lot of different places to get little pieces of the answer,” Wells says.

“Now, you have access to all the sensor data from all over the world. The disparate types of data are tied together, and what you can do is look at the big picture.” Army leaders say DCGS-A played an integral role during the Iraq and Afghanistan wars, allowing analysts to quickly produce actionable intelligence. The system is largely built using fixed sites and mobile units, with the technology infrastructure mounted on trucks. In 2011, the Army deployed one cloud computing node in Afghanistan in response to an influx of tactical reports and an urgent need for advanced analytics to warn soldiers of potential improvised explosive devices.